Investigating the contribution of geomorphic landforms in sediment yield by using sediment fingerprinting method

An important and significant issue in applied research for the management of watersheds is to know integrated drainage sediment yield process to recognize hill slopes and fluvial system. In erosion and sediment study, investigation of form and land form evolution was the earth science study core in the long time. So determination of landform contribution in sediment and erosion yield can utilize for erosion and sediment process in watershed. In recently two decades, sediment fingerprinting method was proven as a key method for contribution of sediment proportion. The purpose of this study was to determine the geomorphic landforms in sediment yield in Chehel-Chaye catchment in Golestan province. By using Topography Position Index, four landforms including concave and convex slope, narrow valleys and slope between concave and convex slope were recognized. In eight flood events suspended sediment sampling was done in March to April 2020. By using XRF instrument, 23 geochemical traces was analysis. After bracket, kruskal-wallis and discernment function analysis, Ba، Ni،Pb، V، Mgo، Mno and Cao had the most discernment percentage in all of tracers. Based of Bayesian mixing model, in first concave slopes 60/9 and in second 28/5 percentage of sediment yield. Result of virtual sediment modeling show that root mean squared error are in 0.6 and 8/4 and mean absolute error 1/7 and 23 evaluated.